{"id":"W2996639604","doi":"10.21810/pop.2019.006","title":"Social Media Engine: Extending our Methodology into other Objects of Scholarship","year":2019,"lang":"en","type":"article","venue":"Pop! Public Open Participatory","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Scholarship; Social media; Relevance (law); Context (archaeology); Computer science; World Wide Web; Work (physics); Data science; Knowledge management; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004884796,0.0001929252,0.0005251733,0.0002420502,0.0001192569,0.0003770569,0.002342479,0.0001678884,0.0001067993],"category_scores_gemma":[0.0004291633,0.0001751798,0.0001047171,0.0004616824,0.00003567169,0.00166264,0.001111322,0.0002638951,0.0001209158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000795325,"about_ca_system_score_gemma":0.00021482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001920046,"about_ca_topic_score_gemma":0.00009422302,"domain_scores_codex":[0.9970723,0.001054571,0.0005152292,0.0004953154,0.0003370476,0.0005255053],"domain_scores_gemma":[0.998323,0.0003133298,0.0003015067,0.000745406,0.0001456783,0.0001711001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002095797,0.0003224708,0.06522331,0.0001752865,0.0002238753,0.0000115045,0.01684541,0.00000260087,0.008966764,0.7723247,0.007686317,0.1281969],"study_design_scores_gemma":[0.007760428,0.001276008,0.206022,0.0006112146,0.0001712727,0.0001244935,0.009120353,0.008375544,0.2036484,0.3014873,0.2564319,0.004971131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7564611,0.001160128,0.1760035,0.01309763,0.006334211,0.002812726,0.00001319981,0.001185437,0.04293206],"genre_scores_gemma":[0.9615531,0.00000288487,0.03758959,0.0003889311,0.0001359088,0.0001261648,0.000001614233,0.00002512879,0.0001766674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4708374,"threshold_uncertainty_score":0.7143624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3761892858170479,"score_gpt":0.4410949343054007,"score_spread":0.06490564848835279,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}